| P12-1032 | updating rule is expressed in a | matrix calculation | . For convenience , the updating |
| N03-1015 | sense-vs . - clue correlation | matrix calculation | algorithm presupposes a set of |
| W12-0209 | reformulate the problem using sparse | matrix calculations | . The usefulness of the approach |
| N13-1015 | made use of Matlab for several | matrix calculations | such as the SVD calculation . |
| W09-0204 | ) is assigned . In the kernel | matrix calculation | , the worst case occurs when |
| N03-1015 | sense-vs . - clue correlation | matrix calculation | method is outlined in the following |
| H91-1045 | Finally , let us remark that our | matrix calculations | can be adapted to yield a shift-reduce |
| C96-2098 | . The method is applicable to | matrix calculation | with the size of an entire dictionary |
| P14-1107 | Establishment We introduce the affinity | matrix calculation | , including homogeneous affinity |
| D15-1047 | construction and coupled TF-IDF | matrix calculation | . The following sections describe |
| D15-1047 | and Csyn . 3.2.3 Coupled TF-IDF | Matrix Calculation | In the general bag-of-words model |
| N03-1015 | sense-vs . - clue correlation | matrix calculation | method we originally developed |
| N03-1015 | sense-vs . - clue correlation | matrix calculation | method overcomes this difficulty |
| E14-2024 | Kappa statistic and coincidence | matrix calculation | for multiple annotations of a |
| W00-1313 | explanations . 1 Mutual information | matrices calculation | We hypothesize that the words |
